{"id":"W4401671916","doi":"10.1016/j.ijhydene.2024.08.190","title":"Comparative analysis of methane and natural gas pyrolysis for low-GHG hydrogen production","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methane; Natural gas; Greenhouse gas; Pyrolysis; Environmental science; Hydrogen production; Hydrogen; Production (economics); Chemistry; Geology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000594016,0.0002440045,0.0007936059,0.001593648,0.00003069518,0.00006582777,0.0004392425,0.00008648002,0.00007129538],"category_scores_gemma":[0.0001256949,0.0002030249,0.0006744694,0.0008362763,0.0001028144,0.0003979862,0.00006671071,0.000138219,0.000002172339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045348,"about_ca_system_score_gemma":0.0001393702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009345316,"about_ca_topic_score_gemma":0.001142595,"domain_scores_codex":[0.9974639,0.0001531259,0.001032649,0.0003430036,0.0007839603,0.000223319],"domain_scores_gemma":[0.9980123,0.000261186,0.000591018,0.0001939102,0.0008217787,0.0001197744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004109039,0.0001509403,0.0001975855,0.00004556332,0.03324033,0.0001346419,0.0007888355,0.6018634,0.333734,0.01642733,0.0004245527,0.01258187],"study_design_scores_gemma":[0.0005728053,0.0001319499,0.0000519535,0.0001728555,0.002014541,0.0004273095,0.0002278754,0.09398506,0.8563575,0.001450947,0.04434357,0.0002636404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871628,0.007634558,0.001745739,0.0005110436,0.002088203,0.00006344503,0.0000455819,0.00003514842,0.0007134743],"genre_scores_gemma":[0.9967683,0.0003056262,0.0004412929,0.00004604044,0.001046287,0.00001743597,0.00009265101,0.00002977277,0.001252589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5226235,"threshold_uncertainty_score":0.8279117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139906015885695,"score_gpt":0.2828135249841951,"score_spread":0.2688229233956256,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}